CN114444782A - Enterprise asset management method and device, storage medium and computer equipment - Google Patents

Enterprise asset management method and device, storage medium and computer equipment Download PDF

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Publication number
CN114444782A
CN114444782A CN202111669739.8A CN202111669739A CN114444782A CN 114444782 A CN114444782 A CN 114444782A CN 202111669739 A CN202111669739 A CN 202111669739A CN 114444782 A CN114444782 A CN 114444782A
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China
Prior art keywords
depreciation
asset
subsidiary
data
original value
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CN202111669739.8A
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Chinese (zh)
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张�杰
胡朱周
陆晓冬
陈军
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State Grid Jiangsu Electric Power Co Ltd
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State Grid Jiangsu Electric Power Co Ltd
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Priority to CN202111669739.8A priority Critical patent/CN114444782A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations

Abstract

The embodiment of the application discloses a management method and device of enterprise assets, a storage medium and computer equipment, and relates to the field of data processing. The method comprises the following steps: acquiring asset card list data of a target enterprise based on a data center; determining total condition information, asset constitution information, depreciation total condition information, pricing depreciation rate and financial depreciation rate of each subsidiary contained in the target enterprise, original asset value scale of each subsidiary, net investment yield of each subsidiary, proportion of capital investment of each subsidiary to the original value and proportion of cost investment of each subsidiary to the original value according to the inventory data of the asset cards; and when the preset trigger operation of a digital map label set on the user interface is detected, displaying a statistical chart on the digital map according to the determined information. The application provides a digital map, and the running state of enterprise assets is displayed by adopting a statistical chart with multiple dimensions, so that decision support is provided for personnel at all levels.

Description

Enterprise asset management method and device, storage medium and computer equipment
Technical Field
The present application relates to the field of data processing, and in particular, to a method and an apparatus for managing enterprise assets, a storage medium, and a computer device.
Background
With the increasing of the supervision of enterprise assets, depreciation gradually converges to supervision, so that more flexible real-time and high-frequency measurement and calculation prediction, simulation and adjustment strategies and the like for depreciation are needed; the prior art generally uses various modules built into an enterprise information management system (e.g., SAP system) to manage assets of an enterprise, such as: the asset depreciation prediction module is used for depreciation prediction, but all the modules are scattered in all the areas of the system, so that a user cannot comprehensively master the operation condition of the enterprise assets.
Disclosure of Invention
The embodiment of the application provides a management method and device of enterprise assets, a storage medium and computer equipment, and can solve the problem that a user cannot comprehensively master the operation condition of the enterprise assets in the prior art. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a method for managing enterprise assets, where the method includes:
acquiring asset card list data of a target enterprise based on a data center;
determining total condition information of the assets, asset constitution information, depreciation total condition information, pricing depreciation rate and financial depreciation rate of each subsidiary contained in the target enterprise, original asset value scale of each subsidiary, net investment yield of each subsidiary, proportion of capital investment of each subsidiary to original value and proportion of cost investment of each subsidiary to original value according to the inventory data of the asset cards;
and when the preset trigger operation of a digital map label set on the user interface is detected, displaying a statistical chart on the digital map according to the determined information.
In a second aspect, an embodiment of the present application provides an apparatus for managing enterprise assets, where the apparatus includes:
the acquisition unit is used for acquiring asset card list data of a target enterprise based on the data center;
a determining unit, configured to determine, according to the asset card list data, asset total condition information, asset configuration information, total depreciation condition information, a pricing depreciation rate and a financial depreciation rate of each of the subsidiaries included in the target enterprise, an asset original value scale of each of the subsidiaries, a net capital yield of each of the subsidiaries, a ratio of capital investment to original value of each of the subsidiaries, and a ratio of cost investment to original value of each of the subsidiaries;
and the display unit is used for displaying the statistical chart on the digital map according to the determined information when the preset trigger operation of the digital map label set on the user interface is detected.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides a computer device, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
optimizing calculation logic based on a data center and improving efficiency by adopting a parallel calculation technology; the data link is opened based on the data center, the data is efficiently processed by utilizing the computing resources of the data center, and the data processing efficiency is improved; and providing a digital map, displaying the operation state of the enterprise assets by adopting a statistical chart with multiple dimensions, and providing decision support for personnel at all levels.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram of a method for managing enterprise assets provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a digital map provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of an enterprise asset management device provided herein;
fig. 5 is a schematic structural diagram of a computer device provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
It should be noted that the management method of the enterprise assets provided by the present application is generally executed by a computer device, and accordingly, the management device of the enterprise assets is generally disposed in the computer device.
Fig. 1 illustrates an exemplary system architecture of an enterprise asset management method or an enterprise asset management apparatus that can be applied to the present application.
As shown in fig. 1, the system architecture may include: the system comprises a service system, a data center platform and a cloud platform. A cloud server and a cloud terminal (i.e., a computer device of the present application) are deployed in the cloud platform. The service system, the data center station and the cloud platform can communicate with each other through a network, and the network is used for providing a medium of a communication link among the units. The network may include various types of wired or wireless communication links, such as: the wired communication link includes an optical fiber, a twisted pair wire, or a coaxial cable, etc., and the WIreless communication link includes a bluetooth communication link, a WIreless-FIdelity (Wi-Fi) communication link, or a microwave communication link, etc.
The business system is used for collecting asset information of an enterprise and comprises asset card list data, the asset card list data is used for recording main attributes of all assets, the asset card list data is composed of a plurality of records, and one record corresponds to one asset. Further, the asset information of the enterprise can be downloaded and reported by the user. The data center is used for storing, processing and inquiring the asset information of the enterprise and comprises a source pasting layer, a sharing layer, an analysis layer and a service layer; the data center can solve the problems of difficult data acquisition, large data storage capacity, slow data calculation and the like of the conventional depreciation of fixed assets. The data center is built depending on the data center, the data center requires more agile and efficient data processing, and powerful data service capabilities such as unified data acquisition, storage, calculation, treatment, query statistics and algorithm are provided for foreground application; the data center platform enables a large-scale asset card data system to be more ordered by applying a classic data warehouse hierarchical architecture method. The method has the advantages that the influence of asset value change and the like is fully considered, including stock assets and incremental assets, the granularity is measured and calculated to the assets, flexible adjustment configuration is provided, an adjustment result is provided in real time, differentiated classification measurement and calculation requirements are supported on the basis of forward depreciation measurement and calculation models and the like, the data structure is clear, repeated development is reduced, and the data service aperture is unified; the data center base searches for rules of influence of different depreciation strategies on company operation targets by means of data mining, develops asset depreciation digital maps and a plurality of query analyses, intelligently recommends depreciation adjustment schemes based on strategy constraints, and automatically issues depreciation adjustment scheme suggestions according to given depreciation release spaces. The cloud platform is used for graphically displaying data shared by the platforms in the data, for example: the statistical charts are displayed on a digital map.
It should be understood that the number of business systems, data middleboxes, and cloud platforms in fig. 1 are merely illustrative. Any number may be used, depending on implementation needs.
The method for managing enterprise assets provided by the embodiment of the present application will be described in detail below with reference to fig. 2. The management apparatus of the enterprise asset in the embodiment of the present application may be a computer device shown in fig. 1.
Referring to fig. 2, a flowchart of a method for managing enterprise assets is provided according to an embodiment of the present application. As shown in fig. 2, the method of the embodiment of the present application may include the steps of:
s201, acquiring asset card list data of a target enterprise based on the data center.
The asset card inventory data of the target enterprise can be acquired periodically through the data middling station, and the period can be determined according to actual requirements. The asset card list data is used for recording the main attribute of each asset, the asset card list data is composed of a plurality of records, one record corresponds to one asset, and each record contains the following attribute values:
asset code, asset name, specification model, asset class, usage status (including in-use or out-of-use), date of initial use, age, month of used, age method, net residual rate, billing unit, usage unit, management department, management responsible person, usage department, user, supplier, manufacturer, voltage class, amount of original value, cumulative amount of old value, amount of reduced value preparation. The enterprise assets include device assets, building class assets, intangible assets, and the like.
S202, determining total condition information, composition information, depreciation total condition information, pricing depreciation rate and financial depreciation rate of each subsidiary contained in the target enterprise, original value scale of the assets of each subsidiary, net investment yield of each subsidiary, proportion of capital investment of each subsidiary to the original value and proportion of cost investment of each subsidiary to the original value according to the inventory data of the asset cards.
Wherein the target company comprises a plurality of subsidiaries, such as: the target company is a power-saving company, and the subsidiaries are a plurality of prefecture companies below the power-saving company. Information for multiple dimensions is calculated from asset card inventory data for the target company. The asset total status information includes: the asset equity, net worth and net worth rate of the target enterprise; the asset configuration information includes a scale of an overdue asset and a scale of a non-overdue asset; the total depreciation condition information represents the depreciation value counted in the current year, the original value of the current chargeable assets and the accumulated comprehensive depreciation rate in the current year of the target enterprise.
And S203, when the preset trigger operation of the digital map label set on the user interface is detected, displaying a statistical chart on the digital map according to the determined information.
The computer device displays a user interface, a digital map label is arranged on the user interface, and the preset trigger operation can be mouse operation, key operation or touch operation, for example: and performing a left-click operation on the digital map icon with a mouse, and displaying a digital map, wherein the digital map comprises a plurality of statistical charts, and the statistical charts are used for displaying the information determined in the S202.
For example, referring to the schematic diagram of the digital map shown in fig. 3, the digital map is divided into a plurality of rectangular areas, and each rectangular area is used for displaying a statistical chart of the asset total condition information, a statistical chart of the asset composition information, a statistical chart of the depreciation total condition information, a map control of the grade city where each sub-company is located (each map control is associated with an asset original value scale, a net investment yield, a proportion of capital investment to original value and a proportion of cost investment to original value, and when a mouse is moved onto the map control, a box is triggered to be displayed, and the box comprises the above-mentioned 4 attribute values), and a statistical chart generated based on the pricing depreciation rate and the financial depreciation rate of each sub-company.
Further, as shown in fig. 3, the user interface further includes a plurality of tabs: the method comprises the steps of measuring, calculating and analyzing a label, an increment measuring and calculating label, a plurality of analyzing labels, a card cloud searching label, a depreciation policy label, a version management label, a model application label and a basic data label, executing corresponding data processing when a computer device detects preset triggering operation on the labels, and displaying a statistical chart on a user interface.
The measuring and calculating analysis label is used for triggering a test analysis function.
1. According to the related depreciation policy, 10 types of current depreciation policies are solidified, namely the current medium value and high value of the national network, the supervision is low, the medium value and the high value are changed, and the current medium value and the high value of the national network are not changed according to the switching rate and the depreciation method. And forming a version for depreciation measurement and calculation on the basis of a depreciation policy, and simulating and predicting the original value, the depreciation rate and the pricing depreciation rate of the assets in the current year and later years.
2. On the basis of the simulation and prediction of the solidified policy, a user can quickly compare the depreciation value and the depreciation rate change by copying the depreciation version and finely adjusting the depreciation mode and the age limit, so as to realize forward measurement and calculation.
3. The user gives an expected depreciation value, the system takes the expected pricing depreciation rate of the user as a lowest control line, the system gives depreciation adjusted combinations for the user to learn and refer, and finally, according to the adjusted logic sequence, the corresponding combinations are quickly selected to realize reverse measurement and calculation.
4. 3-year data can be predicted according to units, inventory increments, asset classes, voltage levels, and user-built dimensions.
Through comparative analysis of three data of SAP simulation, offline manual calculation and calculation of the system, the prediction error can be controlled to be about +/-0.5 percent at present. And the measuring and calculating unit selects the stock according to provincial companies and data types, defaults all asset types and all voltage levels including all self-construction and users, and displays the measuring and calculating result. First selecting the month of the design (e.g. 1 month in 2021), the left side can select 5 different depreciation policies at most, and the selection policies desired by the user can be satisfied by increasing or decreasing. For example, the current value, the straight line, the national network median value and the high value are selected.
The comparison of the depreciation values, the financial depreciation rates and the pricing depreciation rates under different policies selected by different units is carried out below the user self-built depreciation values.
The data volume of the enterprise is generally large, and each attribute value of the enterprise can be calculated in a parallel computing mode. For example: more than 300 pieces of single-month asset cards are introduced, so that after the cards are introduced every month, a system background automatically calculates 10 solidified depreciation versions in time, namely 3000 ten thousand of data of 10 by 300 ten thousand, and through the application of computing logic, homogenization calculation, computing distribution and other technologies, the calculation time is greatly reduced by about 45 to 60 minutes (namely 5 to 6 minutes for each version), and the calculation time is called when later-stage users measure and calculate in a forward and reverse direction.
And on the basis of the stock measurement, combining the original value and depreciation prediction of the newly added assets. For newly-added assets in the current year, the newly-added assets are linked with project management, the current-year budget of the whole capital project, the project balance under construction and the project milestone plan are used for analyzing and predicting the investment increment time point and the investment increment amount one by one for the project, and the depreciation type of the related assets and various split amounts are determined according to the project type (for example, the approximate calculation proportion of a single body can be referred to for the transformer substation project of large and medium-sized capital projects). The system provides template downloading, fills the uploading system in the user line, presets check rules and prompts the user to modify and perfect according to the specifications, and on the basis, the system calculates the depreciation of the newly added assets with different versions according to each type of depreciation rules.
For predicting the total depreciation of the future year in the current year, the original value and depreciation of the assets of the future year are also required to be predicted. According to the historical growth condition of the investment plan, the total investment increase amount (such as 400 hundred million scale in Jiangsu) is predicted, the system divides various asset proportions (fixed asset final annual statement) increased according to the historical original value of the assets, calculates depreciation predicted values of different categories, considers the difference of the investment increase time points and predicts according to one third of the annual depreciation rate.
Wherein the plurality of analysis tags are used to trigger a plurality of analysis functions.
The function is the expansion of measurement and calculation analysis, and a user needs a more detailed depreciation predicted value, namely an asset summary original value, accumulated depreciation and net value of a bottom asset subclass + voltage class (for example, the subclass is 110100-500 kV under power transmission overhead), a predicted depreciation in the current year, residual depreciation in the current year and predicted values in the next two years of 10 depreciation versions, and sub-user and self-construction; and the data of the units are divided, and an EXCEL export function is provided for financial staff of different levels to analyze and use.
The system defines the dimension needed to be used, and the user can select the needed dimension through the quick selection page, inquire the result and export the result. A graphical presentation of asset subclass + voltage level related data is provided.
The model application label comprises a pricing measurement model label, a long-term depreciation model label and a depreciation measurement label, and the pricing measurement model, the long-term depreciation model and the depreciation model are respectively used for processing asset data of a target enterprise to obtain a statistical chart.
1. And (5) pricing measurement model.
(1) Actual pricing: according to the requirements of supervision specifications, a non-user actual card of the ERP is used for determining a summary asset original value and an overdue original value of each classification, a non-overdue asset original value before and after a capitalization date division point, a national network median depreciation rate and a supervision median depreciation rate, and calculating an actual classification pricing depreciation rate and a total pricing depreciation rate based on the card.
(2) Adjusting pricing: certain irrationality exists in pricing depreciation calculation based on card dimensions, mainly under the condition that the increase of the cards has segmentation, and the original values including overdue age and 1 month and 1 day after 2015 need to be properly adjusted. The system provides an adjusting function, a variable value is input by one key, the variable value is automatically shared according to the ratio of the original value of each classification, the adjusted pricing depreciation value and the pricing depreciation rate are calculated, the requirements of supervision and internal management are met, namely the lowest control line of financial depreciation adjustment is used, and the pricing depreciation space is utilized to the maximum extent.
(3) Long-term pricing: and on the basis of pricing depreciation adjustment, predicting the reduction and increase of the original value of the assets in a certain period in the future, and measuring and calculating the pricing depreciation rate level and trend in the future. And the method provides reference for continuously reducing the financial depreciation to supervision convergence, measures and calculates the financial depreciation value space and controls the strategy.
2. The model is depreciated in the long term.
The method is mainly used for measuring the relationship between depreciation and capital investment, taking 12-year acceleration law as an example, assuming that the annual investment amount is constant, the depreciation of the current year in 12 th year and later (namely 95% of the investment amount) can also show the proportion of the depreciation of the current year in the current year investment amount in 1-11 years. Meanwhile, the change of the annual depreciation value can be calculated by changing the annual capital investment, the trend is shown, and the annual investment plan sum is reasonably arranged.
3. And (4) depreciating the model.
The system provides a linear method, a double method and annual depreciation rate curves of different ages, a switching method and a depreciation rate change curve after the age limit, compares depreciation rate change amplitude at the switching time point, and macroscopically grasps depreciation change amplitude of the current switching depreciation year.
The beneficial effects of the embodiment of the application include: optimizing calculation logic based on a data center and improving efficiency by adopting a parallel calculation technology; the data link is opened based on the data center station, the data are efficiently processed by utilizing the computing resources of the data center station, and the data processing efficiency is improved; and providing a digital map, displaying the operation state of the enterprise assets by adopting a statistical chart with multiple dimensions, and providing decision support for personnel at all levels.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 4, a schematic structural diagram of a management apparatus for enterprise assets provided in an exemplary embodiment of the present application is shown, which is hereinafter referred to as apparatus 4. The apparatus 4 may be implemented as all or part of a computer device in software, hardware or a combination of both. The device 4 comprises: acquisition unit 401, determination unit 402, display unit 403.
An obtaining unit 401, configured to obtain asset card list data of a target enterprise based on a data center;
a determining unit 402, configured to determine, according to the asset card inventory data, asset total condition information, asset configuration information, total depreciation condition information, pricing depreciation rate and financial depreciation rate of each of the subsidiaries included in the target enterprise, an original asset value scale of each of the subsidiaries, a net investment yield of each of the subsidiaries, a ratio of capital investment to original value of each of the subsidiaries, and a ratio of cost investment to original value of each of the subsidiaries;
the display unit 403 is configured to display a statistical chart on the digital map according to the determined information when a preset trigger operation of a digital map label set on the user interface is detected.
In one or more possible embodiments, the asset total status information includes: the asset equity, net worth and net worth rate of the target enterprise; the asset configuration information includes a scale of an overdue asset and a scale of a non-overdue asset; the total depreciation condition information represents the depreciation value counted in the current year, the original value of the current chargeable assets and the accumulated comprehensive depreciation rate in the current year of the target enterprise.
In one or more possible embodiments, the digital map includes map controls for the class city of each company;
the display unit 403 is also used to:
and when detecting the preset trigger operation on the map control, displaying the original asset value scale, the net investment yield, the proportion of capital investment to the original value and the proportion of cost investment to the original value of the subsidiary company associated with the map control.
In one or more possible embodiments, the digital map further comprises a reckoning analysis tag;
the display unit 403 is also used to:
when detecting that a preset trigger operation occurs on the measurement and calculation analysis tag, depreciating the asset list data according to a plurality of depreciation policies to obtain a depreciation result, and displaying the depreciation result on the user interface.
In one or more possible embodiments, the user interface further includes: a plurality of assay tags:
the display unit 403 is further configured to display, on the user interface, the predicted depreciation of the current year, the remaining depreciation of the current year, and predicted values of the next two years under the depreciation policy based on the asset subclasses and the voltage levels when the preset trigger operation occurring on the plurality of analysis tags is detected.
In one or more possible embodiments, the user interface further includes: and model application labels including a pricing calculation model label, a long term depreciation model label and a depreciation calculation label.
In one or more possible embodiments, the data staging platform includes a posting layer, a sharing layer, an analysis layer, and a service layer.
It should be noted that, when the apparatus 4 provided in the foregoing embodiment executes the method for managing enterprise assets, the division of the functional modules is merely illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the functions. In addition, the management apparatus for enterprise assets provided by the above embodiments and the management method embodiment for enterprise assets belong to the same concept, and details of implementation processes thereof are referred to in the method embodiments and are not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
An embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the method steps in the embodiment shown in fig. 2, and a specific execution process may refer to a specific description of the embodiment shown in fig. 2, which is not described herein again.
The present application further provides a computer program product storing at least one instruction, which is loaded and executed by the processor to implement the method for managing enterprise assets according to the above embodiments.
Referring to fig. 5, a schematic structural diagram of a computer device is provided in an embodiment of the present application. As shown in fig. 5, the computer device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, memory 505, at least one communication bus 502.
Wherein a communication bus 502 is used to enable connective communication between these components.
The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may also include a standard wired interface and a wireless interface.
The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Processor 501 may include one or more processing cores, among other things. The processor 501 connects various parts within the overall terminal 500 using various interfaces and lines, performs various functions of the terminal 500 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 501 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 501, but may be implemented by a single chip.
The Memory 505 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable medium. The memory 505 may be used to store instructions, programs, code sets, or instruction sets. The memory 505 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 505 may alternatively be at least one memory device located remotely from the processor 501. As shown in fig. 5, the memory 505, which is a type of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an application program.
In the computer device 500 shown in fig. 5, the user interface 503 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the processor 501 may be configured to call the application program stored in the memory 505 and specifically execute the method shown in fig. 2, and the specific process may refer to fig. 2 and is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims (10)

1. A method for managing enterprise assets, comprising:
acquiring asset card list data of a target enterprise based on a data center;
determining total condition information of the assets, asset constitution information, depreciation total condition information, pricing depreciation rate and financial depreciation rate of each subsidiary contained in the target enterprise, original asset value scale of each subsidiary, net investment yield of each subsidiary, proportion of capital investment of each subsidiary to original value and proportion of cost investment of each subsidiary to original value according to the inventory data of the asset cards;
and when the preset trigger operation of a digital map label set on the user interface is detected, displaying a statistical chart on the digital map according to the determined information.
2. The method of claim 1, wherein the asset total status information comprises: the asset equity, net worth and net worth rate of the target enterprise; the asset configuration information includes a scale of an aged asset and a scale of a non-aged asset; the total depreciation condition information represents the depreciation value counted in the current year, the original value of the current chargeable assets and the accumulated comprehensive depreciation rate in the current year of the target enterprise.
3. The method of claim 1 or 2, wherein the digital map comprises map controls for the city of the grade where each company is located;
wherein the method further comprises:
and when the preset trigger operation occurring on the map control is detected, displaying the original asset value scale, net asset yield, the proportion of capital investment to the original value and the proportion of cost investment to the original value of the subsidiary company associated with the map control.
4. The method of claim 3, wherein the digital map further comprises a reckoning analysis tag;
wherein the method further comprises:
and when detecting that a preset trigger operation occurs on the measurement and calculation analysis tag, performing depreciation processing on the asset list data according to a plurality of depreciation policies to obtain a depreciation result, and displaying the depreciation result on the user interface.
5. The method of claim 4, wherein the user interface further comprises: a plurality of assay tags:
the method further comprises the following steps:
and when the preset trigger operation occurring on the plurality of analysis tags is detected, displaying the prediction depreciation of the year, the residual depreciation of the year and the predicted values of the next two years under the depreciation policy on the user interface based on the asset subclasses and the voltage levels.
6. The method of claim 1, 2, 4 or 5, wherein the user interface further comprises: and model application labels including a pricing calculation model label, a long term depreciation model label and a depreciation calculation label.
7. The method of claim 6, wherein the data staging layer comprises a posting layer, a sharing layer, an analysis layer, and a service layer.
8. An apparatus for managing enterprise assets, comprising:
the acquisition unit is used for acquiring asset card list data of a target enterprise based on the data center;
a determining unit, configured to determine, according to the asset card list data, asset total condition information, asset configuration information, total depreciation condition information, a pricing depreciation rate and a financial depreciation rate of each of the subsidiaries included in the target enterprise, an asset original value scale of each of the subsidiaries, a net capital yield of each of the subsidiaries, a ratio of capital investment to original value of each of the subsidiaries, and a ratio of cost investment to original value of each of the subsidiaries;
and the display unit is used for displaying the statistical chart on the digital map according to the determined information when the preset trigger operation of the digital map label set on the user interface is detected.
9. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 7.
10. A computer device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 7.
CN202111669739.8A 2021-12-31 2021-12-31 Enterprise asset management method and device, storage medium and computer equipment Pending CN114444782A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116384710A (en) * 2023-06-02 2023-07-04 国网福建省电力有限公司管理培训中心 Decision-making system, medium and electronic equipment based on customer and asset management

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116384710A (en) * 2023-06-02 2023-07-04 国网福建省电力有限公司管理培训中心 Decision-making system, medium and electronic equipment based on customer and asset management
CN116384710B (en) * 2023-06-02 2023-10-13 国网福建省电力有限公司管理培训中心 Decision-making system, medium and electronic equipment based on customer and asset management

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